对不同函数优化试例的仿真表明细菌群体趋药性算法性能良好，是一种具有进一步研究价值的集群函数优化方法。
The simulation of some test function optimization using BCC algorithm shows BCC algorithm a kind of potentially powerful optimization method worth of much more research.
在集群系统中，为了提升已有资源的资源利用率，调度算法的改进和优化是关键。
In cluster system, it is key point to improve and optimize the scheduling algorithm for increasing the utilization of system resource.
该方法基于新的差异进化(DE)算法和并行计算技术，在PC集群上实现优化。
It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster.
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